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Computer Vision Machine Learning Jobs in Boston, MA

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

Our team is leveraging machine learning and computer vision to solve challenging real-world problems at scale. We are seeking a Mid-Level Machine Learning Engineer to join our growing team. In this ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications. * Develop algorithms utilizing dental imaging data, including 2D ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking ... This role centers on leading the design and delivery of advanced computer vision and perception ...

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

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Computer Vision Machine Learning information

See Boston, MA salary details

$14

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$32

How much do computer vision machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for computer vision machine learning in Boston, MA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $23.75 per hour, depending on experience, location, and employer.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field within machine learning, with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Professionals in this area often work with deep learning frameworks such as TensorFlow or PyTorch and require strong programming skills. The demand for computer vision expertise continues to grow as technology advances.

What engineers make $500,000?

Senior computer vision machine learning engineers with extensive experience, advanced skills in deep learning frameworks, and a strong track record in deploying scalable AI systems can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

What are the key skills and qualifications needed to thrive as a Computer Vision Machine Learning Engineer, and why are they important?

To thrive as a Computer Vision Machine Learning Engineer, you need strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Computer Vision Machine Learning engineers when deploying models to production environments?

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

What is the difference between Computer Vision Machine Learning vs Data Scientist?

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

Which has more salary, CS or AI?

Computer Vision Machine Learning roles, often within AI, tend to have higher salaries than general computer science positions due to specialized skills in deep learning, neural networks, and data analysis. AI roles typically require advanced knowledge of algorithms and tools like TensorFlow or PyTorch, which are highly valued in the job market. Salary differences can vary based on experience, location, and industry, but AI-focused positions generally offer higher compensation.

Which 5 jobs will survive AI?

For a Computer Vision Machine Learning role, jobs that require complex problem-solving, creativity, and human judgment are more likely to persist, such as research scientists, AI ethics specialists, data engineers, software developers, and domain-specific analysts. These roles often involve tasks that are difficult to automate fully and benefit from specialized expertise, continuous learning, and adaptability. Skills in programming, deep learning frameworks, and understanding of real-world applications remain valuable in these positions.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.
What are popular job titles related to Computer Vision Machine Learning jobs in Boston, MA? For Computer Vision Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
Staff Perception Vision Engineer

Staff Perception Vision Engineer

Motion Recruitment

Waltham, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

This client in the robotics space is hiring an engineer who can focus on designing and implementing advanced vision solutions for robotic systems, utilizing a range of cutting-edge technologies, including AI, machine learning, and sensor integration. This is a full time opportunity that is onsite north of Boston, MA. 
Required Skills & Experience
  • Advanced degree in Computer Science, Computer Vision, Machine Learning, or related discipline
  • Extensive professional programming experience in modern languages such as Python, C++, or Rust
  • Experience designing, implementing, and optimizing perception algorithms for robotic or automated systems
  • Skilling in applying both classical and machine learning approaches for image processing, classification, depth measurement, and structure analysis
  • Proficient with AI/ML frameworks (PyTorch), computer vision libraries (OpenCV, PCL, Open3D, CUDA), and sensor fusion techniques.
  • Familiarity with multiple depth sensing modalities, including LiDAR, stereo vision, and time-of-flight
Desired Skills & Experience
  • Background deploying vision systems in operational robotic platforms
  • Understanding of robotic control systems, automation standards, and interface protocols
  • Experience using robotic simulation environments (Isaac Sim, Gazebo)
  • Knowledge of ROS2 development
What You Will Be Doing
Tech Breakdown
  • 60% Vision and perception algorithms
  • 25% Sensor systems
  • 15% ML models
Daily Responsibilities
  • 75% Hands On
  • 10% Management Duties
  • 15% Team Collaboration

The Offer
You will receive the following benefits:
  • Health, Dental, and Vision Insurance
  • PTO
  • 401k

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.